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Direct Unsupervised Super-Resolution Using Generative Adversarial Network (DUS-GAN) for Real-World Data., , , , , , and . IEEE Trans. Image Process., (2021)Unsupervised Real-World Super-resolution Using Variational Auto-encoder and Generative Adversarial Network., , , , , , and . ICPR Workshops (2), volume 12662 of Lecture Notes in Computer Science, page 703-718. Springer, (2020)Thermal Image Super-Resolution Challenge - PBVS 2020., , , , , , , , , and 11 other author(s). CVPR Workshops, page 432-439. Computer Vision Foundation / IEEE, (2020)Unsupervised Denoising for Super-Resolution (UDSR) of Real-World Images., , , , , , , and . IEEE Access, (2022)Unsupervised Single Image Super-Resolution Using Cycle Generative Adversarial Network., , , , , , and . INTAP, volume 1382 of Communications in Computer and Information Science, page 359-370. Springer, (2020)TherISuRNet - A Computationally Efficient Thermal Image Super-Resolution Network., , , , , , and . CVPR Workshops, page 388-397. Computer Vision Foundation / IEEE, (2020)A shallow network for hyperspectral image classification using an autoencoder with convolutional neural network., and . Multim. Tools Appl., 81 (1): 695-714 (2022)An unsupervised approach for thermal to visible image translation using autoencoder and generative adversarial network., and . Mach. Vis. Appl., 32 (4): 99 (2021)NTIRE 2019 Challenge on Video Deblurring: Methods and Results., , , , , , , , , and 35 other author(s). CVPR Workshops, page 1974-1984. Computer Vision Foundation / IEEE, (2019)Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network., , , , , , and . CVPR Workshops, page 1904-1913. Computer Vision Foundation / IEEE, (2020)